Search for dissertations about: "sequential integration"

Showing result 1 - 5 of 30 swedish dissertations containing the words sequential integration.

  1. 1. Sequential 3D Integration - Design Methodologies and Circuit Techniques

    Author : Panagiotis Chaourani; Ana Rusu; Saul Rodriguez; Per-Erik Hellström; Georges Gielen; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; sequential 3D integration; monolithic inter-tier vias; design platforms; parasitic extraction flows; RF AMS circuits; inductors; heterogeneous integration; germanium transistors; Informations- och kommunikationsteknik; Information and Communication Technology;

    Abstract : Sequential 3D (S3D) integration has been identified as a potential candidate for area efficient ICs. It entails the sequential processing of tiers of devices, one on top the other. READ MORE

  2. 2. Machine learning using approximate inference Variational and sequential Monte Carlo methods

    University dissertation from Linköping : Linköping University Electronic Press

    Author : Christian Andersson Naesseth; Thomas Schön; Fredrik Lindsten; Iain Murray; [2018]

    Abstract : Automatic decision making and pattern recognition under uncertainty are difficult tasks that are ubiquitous in our everyday life. The systems we design, and technology we develop, requires us to coherently represent and work with uncertainty in data. READ MORE

  3. 3. Radiation Oncology Data and Modelling Side Effects after Radiation Therapy

    University dissertation from Göteborg : Chalmers University of Technology

    Author : Caroline Olsson; Göteborgs universitet.; Gothenburg University.; [2012]
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; dose and side effect data; dose-volume response; fractionation effect; LQ model; sequential two-phase radiotherapy; head and neck cancer; parotid gland; xerostomia; pelvic radiotherapy; gynecological cancer; pubic bone; pain; data integration; xerostomia; fractionation effect; gynecological cancer; dose-volume response; pelvic radiotherapy; head and neck cancer; LQ model; parotid gland; sequential two-phase radiotherapy; pain; data integration; pubic bone;

    Abstract : Although modern radiation therapy techniques have the ability to conform the dose distribution of ionizing radiation tightly around the volume to be treated, unwanted irradiation to surrounding organs remains a problem. The probability of a side effect arising in the normal tissue of a patient after radiation therapy can be modelled by sigmoid mathematical functions known as normal tissue complication probability (NTCP) models. READ MORE

  4. 4. A Sequential Control Language for Industrial Automation

    University dissertation from Department of Automatic Control, Lund Institute of Technology, Lund University

    Author : Alfred Theorin; [2014]
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Grafchart; service oriented architecture; event-driven architecture; flexible production systems; industry 4.0; real-time; FMI; PID;

    Abstract : Current market trends for industrial automation are the need for customizable production, shorter time to market, and powerful global competitive pressure. Based on these trends two challenges have been identified: 1) flexible production systems and 2) integration and utilization of devices and software. READ MORE

  5. 5. On Bounds and Asymptotics of Sequential Monte Carlo Methods for Filtering, Smoothing, and Maximum Likelihood Estimation in State Space Models

    University dissertation from Lund University

    Author : Jimmy Olsson; [2007]
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; actuarial mathematics; programming; operations research; Statistics; Matematik; Mathematics; state space models; smoothing; sequential Monte Carlo; particle filter; EM algorithm; maximum likelihood; consistency; Asymptotic normality; Statistik; operationsanalys; programmering; aktuariematematik;

    Abstract : This thesis is based on four papers (A-D) treating filtering, smoothing, and maximum likelihood (ML) estimation in general state space models using stochastic particle filters (also referred to as sequential Monte Carlo (SMC) methods). The aim of Paper A is to study the bias of Monte Carlo integration estimates produced by the so-called bootstrap particle filter. READ MORE